Tools

ReviewScope Keyword Theme Screening

Paste reviews manually to count shipping, sizing, quality and other themes with fixed Chinese/English keywords. This is not sentiment analysis or AI clustering.

Competitor reviewsNegative reviewsProduct pain pointsProduct page copy

Who it fits

Product-focused sellers

Product screeningFree on-site toolReview insight reference
On-site tool

ReviewScope Keyword Theme Screening

Enter your own data. Results are calculated in your browser and are not uploaded to a server.

Initial values are examples, not official fees or market data. Replace them with your own figures. N/A means no valid denominator or no finite break-even point.

Review count4Split by line breaks
Most matched themeQuality2 matching lines; not sentiment
Listing angleExplain QualityUse for benefits and FAQ draft

Keyword theme matches

  • Quality: 2 lines
  • Shipping: 1 lines
  • Size: 1 lines
  • Battery / durability: 1 lines
  • Packaging: 1 lines

FAQ draft: Address "Quality" with concrete specs, shipping time, usage limits, and after-sales policy.

How to use it

Use this when you have competitors but do not know what to emphasize on the product page or ask suppliers to improve. It groups reviews into shipping, sizing, quality, durability, and packaging issues.

  1. Paste competitor review snippets with one review per line.
  2. Review the top pain point and category counts.
  3. Turn frequent issues into product-page FAQs, specs, or supplier questions.
  4. Validate with more reviews and real samples before treating the signal as market proof.

Checks before using

  • Review sample is large enough and from the target market
  • Pain points can be addressed by product, page, or fulfillment
  • Platform data and scraping rules are respected
  • Buyer wording is summarized rather than copied

Calculation and evaluation basis

Each line is a review. Fixed shipping, size, quality, battery and packaging keywords count matched lines; English uses word boundaries, Chinese uses substrings. Lines can match multiple themes. Negation, irony and positive feedback can produce misleading matches. This is not sentiment analysis, a negative-review rate or AI clustering.

These notes support a first-pass decision. Before buying software, scaling ads, shipping goods, or handling tax matters, verify against platform dashboards, service contracts, official pricing pages, and professional advice.

Limits and assumptions

  • Theme matches may be positive, negative or false positives; review each line
  • No scraping API, semantic clustering or review authenticity detection
  • Limit 500 lines / 20000 characters; samples do not replace market research

Highlights

  • Turns review text into actionable buckets
  • Useful for product improvement and copywriting
  • Works with English and Chinese review fragments

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